Body‐Coupled‐Driven Object‐Oriented Natural Interactive Interface
The metaverse progressively demands heightened sophistication in human-multi-machine collaboration, accelerating development of hybrid immersive 2D tactile and 3D spatial perception interfaces. However, current interfaces struggle with the precision and adaptability in complex human-multi-machine interaction scenarios. This paper presents a transparent stretchable sensing interface synergizing 2D tactile and 3D spatial perception through body-coupled electromagnetic coupling. Its bi-modal coupling (resistive coupling and capacitive coupling) mechanism enables micrometer-scale 2D tactile sensing alongside broad 3D spatial perception (200 mm range). The contact mode achieves calligraphy-grade trajectory reconstruction (200 µm precision) with force tactile sensing, while the non-contact mode recognizes 38 gestures at 97.11% accuracy. The interface's mechanical transparency and elasticity permit seamless integration on curved surfaces (e.g., gloves and clothes) without perceptual interference. An object-oriented human-machine interaction (HMI) framework is developed to enable single-interface control of multiple devices through electromagnetic signature recognition, enhancing collaborative efficiency. This work can inspire designs of smart interfaces in intelligent healthcare monitoring, industrial robotics coordination, and cross-domain augmented reality applications.
Authors
- Jun Liang Wu (ORCID: https://orcid.org/0000-0002-9912-5238)
- Yukun Xiao (ORCID: https://orcid.org/0000-0001-5089-3538)
- Jianlong Hong (ORCID: https://orcid.org/0000-0002-6643-9492)
- Shengxin Xiang (ORCID: https://orcid.org/0000-0003-3540-9204)
- Xiao Wei (ORCID: https://orcid.org/0000-0003-4252-2045)
- Qiongfeng Shi (ORCID: https://orcid.org/0000-0002-5979-1420)
- Lei Wei (ORCID: https://orcid.org/0000-0002-7768-0927)
- Shengshun Duan (ORCID: https://orcid.org/0000-0001-5418-8270)
- Chengkuo Lee (ORCID: https://orcid.org/0000-0002-8886-3649)
- Huiyun Zhang (ORCID: https://orcid.org/0000-0002-2686-2472)
- Yuqi Chen (ORCID: https://orcid.org/0000-0001-9769-1167)
- Lei Liu (ORCID: https://orcid.org/0000-0003-1278-1417)
- Jun Xia (ORCID: https://orcid.org/0009-0005-3996-2551)
Institutions
- National University of Singapore (SG)
- Southeast University (BD)
- Southeast University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1002/adma.202507067
- Citations
- 7
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 4.72
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities